Triple
T19491777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Scicolone |
E487668
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Scicolone |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Scicolone | Statement: [Maria Scicolone, familyName, Scicolone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scicolone Context triple: [Maria Scicolone, familyName, Scicolone]
-
A.
Scicolone
chosen
Scicolone is the birth surname of Italian actress Sophia Loren, reflecting her family name before she adopted her famous stage name.
-
B.
Soulis
Soulis is a surname of Scottish origin historically associated with the noble de Soulis family.
-
C.
Seresin
Seresin is a surname most notably associated with New Zealand cinematographer and film director Michael Seresin.
-
D.
Svoronos
Svoronos is a locality within the municipality of Katerini in northern Greece, known as a residential area in the Pieria regional unit.
-
E.
Pisatis
Pisatis was an ancient district of Elis in the Peloponnese, Greece, encompassing the area around Olympia and closely associated with the Olympic Games.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348e01b88190a513d0e256161fcd |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:39 p.m.